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https://github.com/ClickHouse/ClickHouse.git
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225 lines
9.3 KiB
C++
225 lines
9.3 KiB
C++
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#include <Columns/ColumnTuple.h>
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#include <Columns/ColumnVector.h>
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#include <DataTypes/DataTypeTuple.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <Functions/FunctionFactory.h>
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#include <Functions/FunctionHelpers.h>
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#include <Functions/IFunction.h>
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#include <Functions/castTypeToEither.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int ILLEGAL_COLUMN;
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extern const int ILLEGAL_TYPE_OF_ARGUMENT;
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}
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template <typename A, typename B>
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struct TupleHammingDistanceImpl
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{
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using ResultType = UInt8;
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static void NO_INLINE vector_vector(
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const PaddedPODArray<A> & a1,
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const PaddedPODArray<A> & b1,
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const PaddedPODArray<B> & a2,
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const PaddedPODArray<B> & b2,
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PaddedPODArray<ResultType> & c)
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{
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size_t size = a1.size();
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for (size_t i = 0; i < size; ++i)
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c[i] = apply(a1[i], a2[i]) + apply(b1[i], b2[i]);
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}
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static void NO_INLINE
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vector_constant(const PaddedPODArray<A> & a1, const PaddedPODArray<A> & b1, UInt64 a2, UInt64 b2, PaddedPODArray<ResultType> & c)
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{
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size_t size = a1.size();
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for (size_t i = 0; i < size; ++i)
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c[i] = apply(a1[i], a2) + apply(b1[i], b2);
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}
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static void NO_INLINE
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constant_vector(UInt64 a1, UInt64 b1, const PaddedPODArray<B> & a2, const PaddedPODArray<B> & b2, PaddedPODArray<ResultType> & c)
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{
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size_t size = a2.size();
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for (size_t i = 0; i < size; ++i)
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c[i] = apply(a1, a2[i]) + apply(b1, b2[i]);
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}
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static ResultType constant_constant(UInt64 a1, UInt64 b1, UInt64 a2, UInt64 b2) { return apply(a1, a2) + apply(b1, b2); }
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private:
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static UInt8 pop_cnt(UInt64 res)
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{
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UInt8 count = 0;
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for (; res; res >>= 1)
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count += res & 1u;
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return count;
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}
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static inline UInt8 apply(UInt64 a, UInt64 b)
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{
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UInt64 res = a ^ b;
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return pop_cnt(res);
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}
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};
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template <typename F>
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bool castType(const IDataType * type, F && f)
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{
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return castTypeToEither<
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DataTypeInt8,
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DataTypeInt16,
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DataTypeInt32,
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DataTypeInt64,
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DataTypeUInt8,
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DataTypeUInt16,
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DataTypeUInt32,
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DataTypeUInt64>(type, std::forward<F>(f));
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}
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template <typename F>
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static bool castBothTypes(const IDataType * left, const IDataType * right, F && f)
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{
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return castType(left, [&](const auto & left_) { return castType(right, [&](const auto & right_) { return f(left_, right_); }); });
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}
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//tupleHammingDistance function: (Tuple(Integer, Integer), Tuple(Integer, Integer))->UInt8
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//in order to avoid code bloating, for non-constant tuple, we make sure that the elements
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//in the tuple should have same data type, and for constant tuple, elements can be any integer
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//data type, we cast all of them into UInt64
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class FunctionTupleHammingDistance : public IFunction
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{
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public:
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static constexpr auto name = "tupleHammingDistance";
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using ResultType = UInt8;
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static FunctionPtr create(const Context &) { return std::make_shared<FunctionTupleHammingDistance>(); }
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return 2; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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if (!isTuple(arguments[0]))
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throw Exception(
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"Illegal type " + arguments[0]->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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if (!isTuple(arguments[1]))
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throw Exception(
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"Illegal type " + arguments[1]->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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return std::make_shared<DataTypeUInt8>();
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}
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void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t) override
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{
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const ColumnWithTypeAndName & arg1 = block.getByPosition(arguments[0]);
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const ColumnWithTypeAndName & arg2 = block.getByPosition(arguments[1]);
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const DataTypeTuple & type1 = static_cast<const DataTypeTuple &>(*arg1.type);
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const DataTypeTuple & type2 = static_cast<const DataTypeTuple &>(*arg2.type);
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auto & left_elems = type1.getElements();
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auto & right_elems = type2.getElements();
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if (left_elems.size() != 2 || right_elems.size() != 2)
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throw Exception(
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"Illegal column of arguments of function " + getName() + ", tuple should have exactly two elements.",
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ErrorCodes::ILLEGAL_COLUMN);
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bool valid = castBothTypes(left_elems[0].get(), right_elems[0].get(), [&](const auto & left, const auto & right) {
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using LeftDataType = std::decay_t<decltype(left)>;
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using RightDataType = std::decay_t<decltype(right)>;
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using T0 = typename LeftDataType::FieldType;
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using T1 = typename RightDataType::FieldType;
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using ColVecT0 = ColumnVector<T0>;
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using ColVecT1 = ColumnVector<T1>;
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using ColVecResult = ColumnVector<ResultType>;
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using OpImpl = TupleHammingDistanceImpl<T0, T1>;
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// constant tuple - constant tuple
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if (const ColumnConst * const_col_left = checkAndGetColumnConst<ColumnTuple>(arg1.column.get()))
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{
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if (const ColumnConst * const_col_right = checkAndGetColumnConst<ColumnTuple>(arg2.column.get()))
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{
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auto cols1 = convertConstTupleToConstantElements(*const_col_left);
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auto cols2 = convertConstTupleToConstantElements(*const_col_right);
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Field a1, b1, a2, b2;
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cols1[0]->get(0, a1);
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cols1[1]->get(0, b1);
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cols2[0]->get(0, a2);
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cols2[1]->get(0, b2);
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auto res = OpImpl::constant_constant(a1.get<UInt64>(), b1.get<UInt64>(), a2.get<UInt64>(), b2.get<UInt64>());
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block.getByPosition(result).column = DataTypeUInt8().createColumnConst(const_col_left->size(), toField(res));
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return true;
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}
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}
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typename ColVecResult::MutablePtr col_res = nullptr;
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col_res = ColVecResult::create();
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auto & vec_res = col_res->getData();
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vec_res.resize(block.rows());
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// constant tuple - non-constant tuple
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if (const ColumnConst * const_col_left = checkAndGetColumnConst<ColumnTuple>(arg1.column.get()))
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{
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if (const ColumnTuple * col_right = typeid_cast<const ColumnTuple *>(arg2.column.get()))
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{
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auto const_cols = convertConstTupleToConstantElements(*const_col_left);
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Field a1, b1;
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const_cols[0]->get(0, a1);
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const_cols[1]->get(0, b1);
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auto col_r1 = checkAndGetColumn<ColVecT1>(&col_right->getColumn(0));
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auto col_r2 = checkAndGetColumn<ColVecT1>(&col_right->getColumn(1));
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if (col_r1 && col_r2)
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OpImpl::constant_vector(a1.get<UInt64>(), b1.get<UInt64>(), col_r1->getData(), col_r2->getData(), vec_res);
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else
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return false;
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}
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else
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return false;
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}
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else if (const ColumnTuple * col_left = typeid_cast<const ColumnTuple *>(arg1.column.get()))
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{
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auto col_l1 = checkAndGetColumn<ColVecT0>(&col_left->getColumn(0));
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auto col_l2 = checkAndGetColumn<ColVecT0>(&col_left->getColumn(1));
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if (col_l1 && col_l2)
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{
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// non-constant tuple - constant tuple
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if (const ColumnConst * const_col_right = checkAndGetColumnConst<ColumnTuple>(arg2.column.get()))
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{
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auto const_cols = convertConstTupleToConstantElements(*const_col_right);
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Field a2, b2;
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const_cols[0]->get(0, a2);
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const_cols[1]->get(0, b2);
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OpImpl::vector_constant(col_l1->getData(), col_l2->getData(), a2.get<UInt64>(), a2.get<UInt64>(), vec_res);
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}
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// non-constant tuple - non-constant tuple
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else if (const ColumnTuple * col_right = typeid_cast<const ColumnTuple *>(arg2.column.get()))
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{
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auto col_r1 = checkAndGetColumn<ColVecT1>(&col_right->getColumn(0));
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auto col_r2 = checkAndGetColumn<ColVecT1>(&col_right->getColumn(1));
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if (col_r1 && col_r2)
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OpImpl::vector_vector(col_l1->getData(), col_l2->getData(), col_r1->getData(), col_r2->getData(), vec_res);
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else
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return false;
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}
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else
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return false;
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}
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else
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return false;
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}
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else
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return false;
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block.getByPosition(result).column = std::move(col_res);
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return true;
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});
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if (!valid)
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throw Exception(getName() + "'s arguments do not match the expected data types", ErrorCodes::ILLEGAL_COLUMN);
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}
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};
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void registerFunctionTupleHammingDistance(FunctionFactory & factory)
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{
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factory.registerFunction<FunctionTupleHammingDistance>();
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}
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}
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